Azure Data Software Engineer

SAIC - 4.0

Pearl City, HI Job Details Full-time $120,001 - $160,000 a year 17 hours ago Qualifications AI models Containerization systems Data compliance Software implementation AI platforms (beyond public GPTs) Data governance Bash Machine learning cloud services Cloud security best practices implementation Machine intelligence UX implementation Model deployment JavaScript Data Security (Data management) Azure Machine Learning Semantic Web Developing and maintaining backend systems System deployment Front-end component implementation Cloud solution engineering Machine learning (ML) fundamentals DevOps automation Machine learning frameworks System security GitLab Python Data security architecture

Full Job Description Job ID:

2617925

Location:

Pearl City, HI, US Date Posted:

2026-10-14

Category:

Software Subcategory:

SW Engineer Schedule:

Full-Time Shift:

Day Job Travel:

No Minimum Clearance Required:

Secret Clearance Level Must Be Able to

Obtain:

TS/SCI Potential for

Remote Work:

ORA_ON_SITE Description SAIC is seeking an Azure Data Software Engineer located at Pearl City in Hawaii to support USPACOM to design, implement, and maintain a full-stack software system that provides Data Analytics and AI Services to a variety of Government stakeholders. The back-end system ingests raw data from diverse sources, enriches it through AI services, and delivers curated datasets for analytics and machine learning. The front-end system provides a catalog of services to end-users, including data visualizations, data ingest, and document generation. Key Responsibilities Design, build and maintain scalable data ingestion pipelines from diverse sources (APIs, databases, streaming feeds) into Azure Data Lake Storage. Integrate Azure AI services (e.g. Azure Machine Learning) into transformation workflows for intelligent enrichment. Optimize ETL/ELT processes for performance, reliability, and cost efficiency. Collaborate closely with data scientists to ensure datasets are AI-ready and aligned with model requirements. Automate pipeline monitoring, error handling, and alerting via CI/CD integration. Participate in architecture reviews and contribute to best practices for data governance and security. Qualifications Required Qualifications Bachelor's and five (5)+ years of related experience; additional four (4) years of experience considered in lieu of degree. Proven experience building data pipelines and a strong understanding of Medallion architecture principles and their practical implementation. Experience integrating Azure AI services into data workflows. Proficiency in Python, bash, and Javascript. Proficiency designing front-end UI/UX. Proficiency in graph-based architecture and software such as LangGraph. Proficiency in containerization and cloud deployment. Familiarity with GitLab CI/CD for data engineering. Knowledge of data governance, security, and compliance best practices.

REQUIRED CLEARANCE

Must have an active Secret clearance with ability to obtain a TS/SCI. Must be a current US Citizen.

Target salary range:

$120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.